Table 3

Multivariate analysis of type of smokers with demographic variables
Variable RYO only vs. Manufactured only RYO only vs. Dual use Dual use vs. Manufactured only
Age p < 0.001* p < 0.001* p = 0.891*
 15–24 1.00 1.00 1.00
 25–44 4.85 (2.6, 8.9) 3.81 (1.9, 7.4) 1.03 (0.7, 1.6)
 45–64 6.94 (3.6, 13.3) 6.03 (2.9, 12.6) 1.00 (0.6, 1.7)
 65+ 12.02 (6.1, 23.6) 12.68 (5.9, 27.2) 0.86 (0.5, 1.5)
Education p < 0.001* p < 0.001* p < 0.001*
 None or primary school 22.21 (12.1, 40.9) 2.70 (1.4, 5.2) 7.18 (4.1, 12.6)
 Primary 12.50 (6.8, 23.1) 1.88 (1.0, 3.5) 6.47 (3.7, 11.2)
 Secondary 2.90 (1.6, 5.4) 1.05 (0.6, 2.0) 2.80 (1.7, 4.7)
 University 1.00 1.00 1.00
Income p < 0.001* p < 0.010* p = 0.074*
 Low 3.96 (2.8, 5.5) 1.81 (1.3, 2.6) 1.49 (1.0, 2.3)
 Middle 1.73 (1.3, 2.3) 1.00 (0.7, 1.3) 1.46 (1.0,2.1)
 High 1.00 1.00 1.00
Residence p < 0.001* p = 0.438* p < 0.001*
 Rural 3.94 (3.0, 5.2) 1.13 (0.8, 1.5) 3.52 (2.6, 4.7)
 Urban 1.00 1.00 1.00
Region p < 0.001* p < 0.001* p < 0.001*
 Bangkok 0.08 (0.0, 0.1) 1.40 (0.8, 2.4) 0.07 (0.0, 0.1)
 Central 0.17 (0.1, 0.3) 1.49 (1.0, 2.3) 0.12 (0.1, 0.2)
 North 0.20 (0.1, 0.3) 2.40 (1.6, 3.7) 0.09 (0.1, 0.2)
 Northeast 0.41 (0.2, 0.7) 1.02 (0.7, 1.5) 0.43 (0.3, 0.7)
 South 1.00 1.00 1.00

*p-value of the test for importance of the factor.

Benjakul et al.

Benjakul et al. BMC Public Health 2013 13:277   doi:10.1186/1471-2458-13-277

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